Customized AI Solutions for Your Content

Uplora AI's Lab Guide (ULG) was applied to the Liver Lab Assist website making it an is an advanced platform leveraging artificial intelligence to provide comprehensive next steps to a provider based off personalized, inputted liver related lab values. It offers accurate diagnostics, monitoring, and personalized insights to support healthcare professionals in managing liver-related conditions effectively based on the official medical society guidelines for abnormal liver chemistries, as supplied by the client. ULG is a great solution for medical affair projects that aim to assist providers in more simply and efficiently get answers to their queries based on known, recommended medical sources.

Uplora AI's Slide Librarian (USL) was applied to the MASH Alliance AI Slide Deck that is being presented at multiple national medical conferences live across the United States. By integrating the USL to this slide deck online, providers are able to be taken directly to the relevant slide that answers the question they have about MASH. Information is provided based on just the one slide deck provided by the client, ensuring answers are provided in context and backed up by the appropriate slide and its qualified data source. Our USL solution is ideal for medical or commercial projects looking to maximize their investment into their slide decks, or other content, media, articles, or data that is presented or posted.

Uplora AI's Algorithm Companion (UAC) was applied to the AASLD and ACG guidelines for the disease of metabolic dysfunction-associated steatohepatitis (fatty liver disease).   Through our UAC, rather than attempting to search through a large guidelines document, providers are able to quickly pick which guideline they want to search, then query that document and be shown an answer on a verified management algorithm, thereby providing them a quick, responsible answer from a vetted, supplied source by the client.  UAC is a fantastic solution for any organization or agency that wants to get their or an official medical society's management algorithm more visibility and use.